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» An Algorithm for Knowledge Base Extraction
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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 2 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
14 years 3 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
WWW
2007
ACM
14 years 9 months ago
Yago: a core of semantic knowledge
We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities a...
Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weiku...
ICCBR
2009
Springer
13 years 6 months ago
Constraint-Based Case-Based Planning Using Weighted MAX-SAT
Previous approaches to case-based planning often finds a similar plan case to a new planning problem to adapt to solve the new problem. However, in the case base, there may be some...
Hankui Zhuo, Qiang Yang, Lei Li
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 3 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou